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This lecture and tutorial focuses on measuring human functional brain networks. The lecture and tutorial were part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
Difficulty level: Intermediate
Duration: 50:44
Speaker: : Caterina Gratton
Course:
Lecture on functional brain parcellations and a set of tutorials on bootstrap agregation of stable clusters (BASC) for fMRI brain parcellation which were part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
Difficulty level: Advanced
Duration: 50:28
Speaker: : Pierre Bellec
This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies.
Difficulty level: Beginner
Duration: 1:30:45
Speaker: : Maryann Martone
Learn how to create a standard extracellular electrophysiology dataset in NWB using Python
Difficulty level: Intermediate
Duration: 23:10
Speaker: : Ryan Ly
Learn how to create a standard calcium imaging dataset in NWB using Python
Difficulty level: Intermediate
Duration: 31:04
Speaker: : Ryan Ly
Learn how to create a standard intracellular electrophysiology dataset in NWB
Difficulty level: Intermediate
Duration: 20:23
Speaker: : Pamela Baker
Learn how to use the icephys-metadata extension to enter meta-data detailing your experimental paradigm
Difficulty level: Intermediate
Duration: 27:18
Speaker: : Oliver Ruebel
Learn how to build and share extensions in NWB
Difficulty level: Advanced
Duration: 20:29
Speaker: : Ryan Ly
Learn how to build custom APIs for extension
Difficulty level: Advanced
Duration: 25:40
Speaker: : Andrew Tritt
Learn how to handle writing very large data in PyNWB
Difficulty level: Advanced
Duration: 26:50
Speaker: : Andrew Tritt
Learn how to create a standard extracellular electrophysiology dataset in NWB using MATLAB
Difficulty level: Intermediate
Duration: 45:46
Speaker: : Ben Dichter
Learn how to create a standard calcium imaging dataset in NWB using MATLAB
Difficulty level: Intermediate
Duration: 39:10
Speaker: : Ben Dichter
Learn how to create a standard intracellular electrophysiology dataset in NWB
Difficulty level: Intermediate
Duration: 20:22
Speaker: : Pamela Baker
Learn how to handle writing very large data in MatNWB
Difficulty level: Advanced
Duration: 16:18
Speaker: : Ben Dichter
Overview of the Braintorm package for analyzing extracellular electrophysiology, including preprocessing, spike sorting, trial alignment, and spectrotemporal decomposition
Difficulty level: Intermediate
Duration: 47:47
Speaker: : Konstantinos Nasiotis
Overview of the CaImAn package, and demonstration of usage with NWB
Difficulty level: Intermediate
Duration: 44:37
Speaker: : Andrea Giovannucci
Overview of the SpikeInterface package, including demonstration of data loading, preprocessing, spike sorting, and comparison of spike sorters
Difficulty level: Intermediate
Duration: 1:10:28
Speaker: : Alessio Buccino
Overview of the NWBWidgets package, including coverage of different data types, and information for building custom widgets within this framework
Difficulty level: Intermediate
Duration: 47:15
Speaker: : Ben Dichter
This video explains what metadata is, why it is important, and how you can organise your metadata to increase the FAIRness of your data on EBRAINS.
Difficulty level: Beginner
Duration: 17:23
Speaker: : Ulrike Schlegel
Course:
Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.
Difficulty level: Beginner
Duration: 2:53
Speaker: : Barton Poulson